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Training course "Introduction to descriptive and parametric statistic with R"

(Course no. 98/2016 in the training programme of Forschungszentrum Jülich)

begin
14 Apr 2016 09:00
end
14 Apr 2016 15:00
venue
Jülich Supercomputing Centre, Besprechungsraum 2, building 16.3, Raum 315

  

Target audience:
Staff members who want to use R for statistical analysis
Contents:

Some basic statistical tools are presented and investigated using R freeware and data from pedestrian trajectories.
The objective is to propose useful methods allowing to analyze data or to calibrate a model, as well as to learn how to use R.
The course is organized in three sessions:

  • The first session is about basic descriptive tools for univariate and bivariate data (such as histogram, kernel density, measures of location/variability, boxplot, covariance, correlation, simple linear regression, qqplot, Bootstrap methods).
  • The second session concerns descriptive analysis of multivariate data: Principal component analysis and Multiple linear regression / Estimation by least-square.
  • The last session is about parametric statistic: Estimator (definition and property); Punctual estimation of parameters (by maximal likelihood and Bayesian approach); Information criteria (AIC, BIC, likelihood ratio...); Precision of the estimations (confidence and credible intervals); Tests of hypothesis.

Participants are requested to bring their own laptops.

Language:
This course is taught in English.
Duration:
1 day
Date:
Thursday, 14 April 2016, 9:00-12:00 and 13:30-15:00
Venue:
Jülich Supercomputing Centre, Besprechungsraum 2, building 16.3, room 315
Number of participants:
minimum 5, maximum 14
Instructors:
Dr. Antoine Tordeux, JSC
Contact:
Dr. Antoine Tordeux


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